Several recent works in human-robot-interaction (HRI) have begun to highlight the importance of the replication crisis and open science practices for our field. Yet, suggestions and recommendations tailored to child-robot-interaction (CRI) research, which poses it's own additional set of challenges, remain limited. There is also an increased need within both HRI and CRI for inter and cross-disciplinary collaborations, where input from multiple different domains can contribute to better research outcomes. Consequently, this workshop aims to facilitate discussions between researchers from diverse disciplines within CRI. The workshop will open with a panel discussion between CRI researchers from different disciplines, followed by 3-minute flash talks of the accepted submissions. The second half of the workshop will consist of breakout group discussions, where both senior and junior academics from different disciplines can share their experiences of conducting CRI research. Through this workshop we hope to create a common ground for addressing shared challenges in CRI, as well as identify a set of possible solutions going forward.
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Technologies that were initially developed to be applied within the domain of video games are currently being used in experiments to explore their meaning and possibilities for cinema and cinema audiences. In this position paper we examine how narrativity, interactivity and engagement are mutually reshaped within this new domain of media entertainment, addressing both the production and the user experience of new types of interactive cinematography. We work towards research questions that will direct our future studies and in-troduce the term lean in to address the kind of engagement style that applies to users within this new domain.
A key element in social development is interaction with others, and preterm infants have an increased risk for problems in this aspect. We aimed to gain additional insight into parents’ perception about their preterm child’s social interaction upon reaching school age. Parents informed us about their child being a little fighter, having issues of coping with their disabilities in social contexts, and how their child withdraws from situations that are overlystimulating. They also expressed their concerns about the future, how they encourage their child, and how they experience the transition to primary school. Parents’ experiences concerning the social interaction of their preterm child can be categorized into eight themes of processes in social interaction: child factors, self-regulation, real-time social interaction, long-term social interaction, parental factors, parenting, social environment, and social experiences. Our proposed model of social interaction in preterm infants visualizes theinterrelatedness between these themes in social interaction
Developing and realizing an innovative concept for the Active Aging campus in two years, where students, teachers, companies, residents of surrounding Campus neighborhoods will be invited to do exercise, sports, play, meet and participate. This includes, on the one hand, providing input with regard to a mobility-friendly design from an infrastructural perspective and, on the other hand, organizing activities that contribute to Healthy Aeging of the Zernike site and the city of Groningen. It is not only about having an Active Aging campus with an iconic image, but also about the process. In the process of realization, students, teachers, researchers, companies and residents from surrounding districts will be explicitly involved. This includes hardware (physical environment / infrastructure), software (social environment) and orgware (interaction between the two).
Drones have been verified as the camera of 2024 due to the enormous exponential growth in terms of the relevant technologies and applications such as smart agriculture, transportation, inspection, logistics, surveillance and interaction. Therefore, the commercial solutions to deploy drones in different working places have become a crucial demand for companies. Warehouses are one of the most promising industrial domains to utilize drones to automate different operations such as inventory scanning, goods transportation to the delivery lines, area monitoring on demand and so on. On the other hands, deploying drones (or even mobile robots) in such challenging environment needs to enable accurate state estimation in terms of position and orientation to allow autonomous navigation. This is because GPS signals are not available in warehouses due to the obstruction by the closed-sky areas and the signal deflection by structures. Vision-based positioning systems are the most promising techniques to achieve reliable position estimation in indoor environments. This is because of using low-cost sensors (cameras), the utilization of dense environmental features and the possibilities to operate in indoor/outdoor areas. Therefore, this proposal aims to address a crucial question for industrial applications with our industrial partners to explore limitations and develop solutions towards robust state estimation of drones in challenging environments such as warehouses and greenhouses. The results of this project will be used as the baseline to develop other navigation technologies towards full autonomous deployment of drones such as mapping, localization, docking and maneuvering to safely deploy drones in GPS-denied areas.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
